多脉冲下MOA老化劣化在线监测指标研究
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摘要
目前国内外对MOA(金属氧化物避雷器)在线运行状态的研究大多是基于单脉冲下开展的,而真实自然闪电大多是多脉冲形式。单脉冲在能量上和持续时间上均远小于真实自然闪电,并不能模拟实际自然环境中的多脉冲闪电情况。为此,在多脉冲冲击试验条件下得到MOA老化劣化变化过程中的真实数据,通过分析不同类型数据的变化来研究表征MOA老化劣化的参数指标,并通过神经网络算法对数据进行分析。结果显示,提出的基于多脉冲下的神经网络算法对不同运行状态的MOA正确识别率超过96%,表明其具有高精度和正确性。为多脉冲下MOA老化劣化的研究提供完整的智能化在线监测新方法。
At present,the research of MOA( metal oxide arrester) on line is mostly based on single pulse,and the real natural lightning is mostly multi pulse. The single pulse is far less than the real natural lightning in the energy and duration,and can not simulate the multi pulse lightning in the actual environment.Therefore,in this paper,the real data in the process of aging deterioration of MOA were obtained under the condition of multi pulse impact test,and the parameters of MOA aging deterioration were studied by analyzing the changes of different types of data. The results show that the proposed neural network algorithm based on multiple pulses has a correct recognition rate of MOA over 96% in different running states,which shows that it has high-precision and accuracy. The neural network algorithm is used to analyze the data,which provides a new method for the study of aging degradation of MOA under multi pulse.
At present,the research of MOA( metal oxide arrester) on line is mostly based on single pulse,and the real natural lightning is mostly multi pulse. The single pulse is far less than the real natural lightning in the energy and duration,and can not simulate the multi pulse lightning in the actual environment.Therefore,in this paper,the real data in the process of aging deterioration of MOA were obtained under the condition of multi pulse impact test,and the parameters of MOA aging deterioration were studied by analyzing the changes of different types of data. The results show that the proposed neural network algorithm based on multiple pulses has a correct recognition rate of MOA over 96% in different running states,which shows that it has high-precision and accuracy. The neural network algorithm is used to analyze the data,which provides a new method for the study of aging degradation of MOA under multi pulse.
引文
[1]曹洪亮,杨仲江,任婧,等.金属氧化物避雷器在线监测指标研究[J].中国电力,2015,48(8):80-85.CAO Hongliang,YANG Zhongjiang,REN Jing,et al.Study on On-Line monitoring index of MOA[J].Electric Power,2015,48(8):80-85.
[2]OYAMA M,OHSHIMA I,HONDA M,et al.Life performance of zinc-oxide elements under DC voltage[J].IEEE Transactions on Power Apparatus and Systems,1982(6):1363-1368.
[3]LEE B H,KANG S M.Properties of Zn O varistor blocks under multiple lightning impulse voltages[J].Current Applied Physics,2006,6(5):844-851.
[4]杨仲江,曹洪亮,李鹏飞,等.基于遗传算法的金属氧化物避雷器在线监测[J].高电压技术,2015,41(9):3104-3109.YANG Zhongjiang,CAO Hongliang,LI Pengfei,et al.On-line Monitoring of Metal Oxide Arrester Using Genetic Algorithm[J].High Voltage Engineering,2015,41(9):3104-3109.
[5]KHODSUZ M,MIRZAIE M,SEYYEDBARZEGAR S.Metal oxide surge arrester condition monitoring based on analysis of leakage current components[J].International Journal of Electrical Power&Energy Systems,2015,66(期缺失):188-193.
[6]LIRA G R S,FERNANDES Jr D,COSTA E G.Parameter identification technique for a dynamic metal-oxide surge arrester model[C].International conference on power systems transients,2009,Kyoto.Proceedings of the International Conference on Power Systems Transients.2009.
[7]ZHU H,RAGHUVEER M R.Influence of harmonics in system voltage on metal oxide surge arrester diagnostics[C].Electrical Insulation and Dielectric Phenomena,1999 Annual Report Conference on.IEEE,1999,2:542-545.
[8]周龙.基于灰关联分析的MOA绝缘监测和诊断参量研究[J].电瓷避雷器,2004(5):27-29.ZHOU Long.Study on MOA insulation monitoring and diagnosis parameters based on grey relational analysis[J].Insulators and Surge Arresters,2004(5):27-29.
[9]邵慧丽.电压谐波对MOA泄漏电流检测方法影响分析[J].电瓷避雷器,2012,1(1):94-98.SHAO Huili.Effect of voltage harmonics on test method of MOA leakage current[J].Insulators and Surge Arresters,2012,1(1):94-98.
[10]刘振莉,郭洁,金青,等.交流Zn O电阻片小电流区阻性、容性电流与电压关系研究[J].电瓷避雷器,2012(5):70-73.LIU Zhenli,GUO Jie,JIN Qing,et al.Study on the relationship between the resistance of small current region and the capacitive current and the voltage of AC Zn O resistance chip[J].Insulators and Surge Arresters,2012(5):70-73.
[11]方磊,王英健,张玉环.电力系统谐波检测加窗插值算法及其Matlab实现[J].电瓷避雷器,2009(3):39-42.FANG Lei,WANG Yingjian,ZHANG Yuhuan.Power system harmonic detection windowed interpolation algorithm and its Matlab implementation[J].Insulators and Surge Arresters,2009(3):39-42.
[12]严玉婷,江健武,钟建灵,等.金属氧化物避雷器事故分析及测试方法的比较研究[J].电瓷避雷器,2011(5):63-69.YAN Yuting,JIANG Jianwu,ZHONG Jianling,et al.MOA accident analysis and comparative study of testing methods[J].Insulators and Surge Arresters,2011(5):63-69.
[13]杨仲江,陈琳,杜志航,等.氧化锌压敏电阻劣化过程中电容量变化的分析应用[J].高电压技术,2010,36(9):2167-2172.YANG Zhongjiang,CHEN Lin,DU Zhihang,et al.Application on capacitance during the degradation of Zn Ovaristor[J].High Voltage Engineering,2010,36(9):2167-2172.
[14]杨仲江,张枨,柴健,等.氧化锌压敏电阻老化过程中非线性系数变化的研究[J].电子元件与材料,2011,30(9):27-30.YANG Zhongjiang,ZHANG Cheng,CHAI Jian,et al.Research on the varying of nonlinear coefficient during the degradation of Zn O varistor[J].Electronic Components&Materials,2011,30(9):27-30.
[2]OYAMA M,OHSHIMA I,HONDA M,et al.Life performance of zinc-oxide elements under DC voltage[J].IEEE Transactions on Power Apparatus and Systems,1982(6):1363-1368.
[3]LEE B H,KANG S M.Properties of Zn O varistor blocks under multiple lightning impulse voltages[J].Current Applied Physics,2006,6(5):844-851.
[4]杨仲江,曹洪亮,李鹏飞,等.基于遗传算法的金属氧化物避雷器在线监测[J].高电压技术,2015,41(9):3104-3109.YANG Zhongjiang,CAO Hongliang,LI Pengfei,et al.On-line Monitoring of Metal Oxide Arrester Using Genetic Algorithm[J].High Voltage Engineering,2015,41(9):3104-3109.
[5]KHODSUZ M,MIRZAIE M,SEYYEDBARZEGAR S.Metal oxide surge arrester condition monitoring based on analysis of leakage current components[J].International Journal of Electrical Power&Energy Systems,2015,66(期缺失):188-193.
[6]LIRA G R S,FERNANDES Jr D,COSTA E G.Parameter identification technique for a dynamic metal-oxide surge arrester model[C].International conference on power systems transients,2009,Kyoto.Proceedings of the International Conference on Power Systems Transients.2009.
[7]ZHU H,RAGHUVEER M R.Influence of harmonics in system voltage on metal oxide surge arrester diagnostics[C].Electrical Insulation and Dielectric Phenomena,1999 Annual Report Conference on.IEEE,1999,2:542-545.
[8]周龙.基于灰关联分析的MOA绝缘监测和诊断参量研究[J].电瓷避雷器,2004(5):27-29.ZHOU Long.Study on MOA insulation monitoring and diagnosis parameters based on grey relational analysis[J].Insulators and Surge Arresters,2004(5):27-29.
[9]邵慧丽.电压谐波对MOA泄漏电流检测方法影响分析[J].电瓷避雷器,2012,1(1):94-98.SHAO Huili.Effect of voltage harmonics on test method of MOA leakage current[J].Insulators and Surge Arresters,2012,1(1):94-98.
[10]刘振莉,郭洁,金青,等.交流Zn O电阻片小电流区阻性、容性电流与电压关系研究[J].电瓷避雷器,2012(5):70-73.LIU Zhenli,GUO Jie,JIN Qing,et al.Study on the relationship between the resistance of small current region and the capacitive current and the voltage of AC Zn O resistance chip[J].Insulators and Surge Arresters,2012(5):70-73.
[11]方磊,王英健,张玉环.电力系统谐波检测加窗插值算法及其Matlab实现[J].电瓷避雷器,2009(3):39-42.FANG Lei,WANG Yingjian,ZHANG Yuhuan.Power system harmonic detection windowed interpolation algorithm and its Matlab implementation[J].Insulators and Surge Arresters,2009(3):39-42.
[12]严玉婷,江健武,钟建灵,等.金属氧化物避雷器事故分析及测试方法的比较研究[J].电瓷避雷器,2011(5):63-69.YAN Yuting,JIANG Jianwu,ZHONG Jianling,et al.MOA accident analysis and comparative study of testing methods[J].Insulators and Surge Arresters,2011(5):63-69.
[13]杨仲江,陈琳,杜志航,等.氧化锌压敏电阻劣化过程中电容量变化的分析应用[J].高电压技术,2010,36(9):2167-2172.YANG Zhongjiang,CHEN Lin,DU Zhihang,et al.Application on capacitance during the degradation of Zn Ovaristor[J].High Voltage Engineering,2010,36(9):2167-2172.
[14]杨仲江,张枨,柴健,等.氧化锌压敏电阻老化过程中非线性系数变化的研究[J].电子元件与材料,2011,30(9):27-30.YANG Zhongjiang,ZHANG Cheng,CHAI Jian,et al.Research on the varying of nonlinear coefficient during the degradation of Zn O varistor[J].Electronic Components&Materials,2011,30(9):27-30.